Middesk

Data Scientist

San Francisco

Sponsorship not specifiedDetected 81 days ago

AlgorithmsMachine LearningData ScienceLLMsCollaboration

About the role

With our proprietary identity data and deep domain expertise, we're in a strong position to expand into a broader set of intelligent, risk-aware products.
This role is less about inventing new ML algorithms and more about applying the right techniques to messy, real-world problems.
You've worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway.

Build fraud & risk systems
Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.
Experience building and shipping production systems

Familiarity with knowledge graphs, network analysis, or entity linking is strongly preferred.

Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.

Middesk makes it easier for businesses to work together.
Since 2018, we've been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data.
Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
We're looking for a hands-on engineer to help build the foundation for these systems.

This listing is sourced directly from Middesk's careers page and normalized into a canonical job model.